path: "tensorflow"
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  member_method {
    name: "batch_to_space"
    argspec: "args=[\'input\', \'crops\', \'block_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "batch_to_space_nd"
    argspec: "args=[\'input\', \'block_shape\', \'crops\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "betainc"
    argspec: "args=[\'a\', \'b\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "bincount"
    argspec: "args=[\'arr\', \'weights\', \'minlength\', \'maxlength\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \"<dtype: \'int32\'>\"], "
  }
  member_method {
    name: "bitcast"
    argspec: "args=[\'input\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "boolean_mask"
    argspec: "args=[\'tensor\', \'mask\', \'name\', \'axis\'], varargs=None, keywords=None, defaults=[\'boolean_mask\', \'None\'], "
  }
  member_method {
    name: "broadcast_dynamic_shape"
    argspec: "args=[\'shape_x\', \'shape_y\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "broadcast_static_shape"
    argspec: "args=[\'shape_x\', \'shape_y\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "case"
    argspec: "args=[\'pred_fn_pairs\', \'default\', \'exclusive\', \'strict\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'False\', \'case\'], "
  }
  member_method {
    name: "cast"
    argspec: "args=[\'x\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ceil"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "check_numerics"
    argspec: "args=[\'tensor\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cholesky"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cholesky_solve"
    argspec: "args=[\'chol\', \'rhs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "clip_by_average_norm"
    argspec: "args=[\'t\', \'clip_norm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "clip_by_global_norm"
    argspec: "args=[\'t_list\', \'clip_norm\', \'use_norm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "clip_by_norm"
    argspec: "args=[\'t\', \'clip_norm\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "clip_by_value"
    argspec: "args=[\'t\', \'clip_value_min\', \'clip_value_max\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "colocate_with"
    argspec: "args=[\'op\', \'ignore_existing\'], varargs=None, keywords=None, defaults=[\'False\'], "
  }
  member_method {
    name: "complex"
    argspec: "args=[\'real\', \'imag\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "concat"
    argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'concat\'], "
  }
  member_method {
    name: "cond"
    argspec: "args=[\'pred\', \'true_fn\', \'false_fn\', \'strict\', \'name\', \'fn1\', \'fn2\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "confusion_matrix"
    argspec: "args=[\'labels\', \'predictions\', \'num_classes\', \'dtype\', \'name\', \'weights\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "conj"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "constant"
    argspec: "args=[\'value\', \'dtype\', \'shape\', \'name\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Const\', \'False\'], "
  }
  member_method {
    name: "container"
    argspec: "args=[\'container_name\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "control_dependencies"
    argspec: "args=[\'control_inputs\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "convert_to_tensor"
    argspec: "args=[\'value\', \'dtype\', \'name\', \'preferred_dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "convert_to_tensor_or_indexed_slices"
    argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "convert_to_tensor_or_sparse_tensor"
    argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "cos"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cosh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "count_nonzero"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'dtype\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'int64\'>\", \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "count_up_to"
    argspec: "args=[\'ref\', \'limit\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "create_partitioned_variables"
    argspec: "args=[\'shape\', \'slicing\', \'initializer\', \'dtype\', \'trainable\', \'collections\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'True\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "cross"
    argspec: "args=[\'a\', \'b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cumprod"
    argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "cumsum"
    argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "custom_gradient"
    argspec: "args=[\'f\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "decode_base64"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "decode_compressed"
    argspec: "args=[\'bytes\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "decode_csv"
    argspec: "args=[\'records\', \'record_defaults\', \'field_delim\', \'use_quote_delim\', \'name\', \'na_value\', \'select_cols\'], varargs=None, keywords=None, defaults=[\',\', \'True\', \'None\', \'\', \'None\'], "
  }
  member_method {
    name: "decode_json_example"
    argspec: "args=[\'json_examples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "decode_raw"
    argspec: "args=[\'bytes\', \'out_type\', \'little_endian\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "delete_session_tensor"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "depth_to_space"
    argspec: "args=[\'input\', \'block_size\', \'name\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\', \'NHWC\'], "
  }
  member_method {
    name: "dequantize"
    argspec: "args=[\'input\', \'min_range\', \'max_range\', \'mode\', \'name\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'None\'], "
  }
  member_method {
    name: "deserialize_many_sparse"
    argspec: "args=[\'serialized_sparse\', \'dtype\', \'rank\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "device"
    argspec: "args=[\'device_name_or_function\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "diag"
    argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "diag_part"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "digamma"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "div"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "divide"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "dynamic_partition"
    argspec: "args=[\'data\', \'partitions\', \'num_partitions\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "dynamic_stitch"
    argspec: "args=[\'indices\', \'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "edit_distance"
    argspec: "args=[\'hypothesis\', \'truth\', \'normalize\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'edit_distance\'], "
  }
  member_method {
    name: "einsum"
    argspec: "args=[\'equation\'], varargs=inputs, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "enable_eager_execution"
    argspec: "args=[\'config\', \'device_policy\', \'execution_mode\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "encode_base64"
    argspec: "args=[\'input\', \'pad\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "erf"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "erfc"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "executing_eagerly"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "exp"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "expand_dims"
    argspec: "args=[\'input\', \'axis\', \'name\', \'dim\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "expm1"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "extract_image_patches"
    argspec: "args=[\'images\', \'ksizes\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "eye"
    argspec: "args=[\'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_args"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_args_gradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars_gradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars_per_channel"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars_per_channel_gradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fft"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "fft2d"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "fft3d"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "fill"
    argspec: "args=[\'dims\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "fixed_size_partitioner"
    argspec: "args=[\'num_shards\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], "
  }
  member_method {
    name: "floor"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "floor_div"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "floordiv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "floormod"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "foldl"
    argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "foldr"
    argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\'], "
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  member_method {
    name: "gather"
    argspec: "args=[\'params\', \'indices\', \'validate_indices\', \'name\', \'axis\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0\'], "
  }
  member_method {
    name: "gather_nd"
    argspec: "args=[\'params\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "get_collection"
    argspec: "args=[\'key\', \'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "get_collection_ref"
    argspec: "args=[\'key\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_default_graph"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_default_session"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
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  member_method {
    name: "get_local_variable"
    argspec: "args=[\'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], "
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  member_method {
    name: "get_seed"
    argspec: "args=[\'op_seed\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_session_handle"
    argspec: "args=[\'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "get_session_tensor"
    argspec: "args=[\'handle\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "get_variable"
    argspec: "args=[\'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "get_variable_scope"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "global_norm"
    argspec: "args=[\'t_list\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "global_variables"
    argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "global_variables_initializer"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "glorot_normal_initializer"
    argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], "
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  member_method {
    name: "glorot_uniform_initializer"
    argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], "
  }
  member_method {
    name: "gradients"
    argspec: "args=[\'ys\', \'xs\', \'grad_ys\', \'name\', \'colocate_gradients_with_ops\', \'gate_gradients\', \'aggregation_method\', \'stop_gradients\'], varargs=None, keywords=None, defaults=[\'None\', \'gradients\', \'False\', \'False\', \'None\', \'None\'], "
  }
  member_method {
    name: "greater"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "greater_equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "group"
    argspec: "args=[], varargs=inputs, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "guarantee_const"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "hessians"
    argspec: "args=[\'ys\', \'xs\', \'name\', \'colocate_gradients_with_ops\', \'gate_gradients\', \'aggregation_method\'], varargs=None, keywords=None, defaults=[\'hessians\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "histogram_fixed_width"
    argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'100\', \"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "histogram_fixed_width_bins"
    argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'100\', \"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "identity"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "identity_n"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ifft"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ifft2d"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ifft3d"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "igamma"
    argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "igammac"
    argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "imag"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "import_graph_def"
    argspec: "args=[\'graph_def\', \'input_map\', \'return_elements\', \'name\', \'op_dict\', \'producer_op_list\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "initialize_all_tables"
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    argspec: "args=[], varargs=None, keywords=None, defaults=None"
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    argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'init\'], "
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    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
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    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
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    argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None"
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  member_method {
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    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "is_variable_initialized"
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  member_method {
    name: "lbeta"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'lbeta\'], "
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  member_method {
    name: "less"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "less_equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "lgamma"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
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    name: "linspace"
    argspec: "args=[\'start\', \'stop\', \'num\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "load_file_system_library"
    argspec: "args=[\'library_filename\'], varargs=None, keywords=None, defaults=None"
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    name: "load_op_library"
    argspec: "args=[\'library_filename\'], varargs=None, keywords=None, defaults=None"
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  member_method {
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    argspec: "args=[], varargs=None, keywords=None, defaults=None"
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  member_method {
    name: "log1p"
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  member_method {
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    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "logical_and"
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  member_method {
    name: "logical_not"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "logical_or"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "logical_xor"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'LogicalXor\'], "
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  member_method {
    name: "make_ndarray"
    argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None"
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    name: "make_template"
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    name: "matching_files"
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  member_method {
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  member_method {
    name: "matrix_diag"
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    name: "matrix_diag_part"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "matrix_inverse"
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  member_method {
    name: "matrix_set_diag"
    argspec: "args=[\'input\', \'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "matrix_solve"
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  member_method {
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    argspec: "args=[\'matrix\', \'rhs\', \'lower\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], "
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    name: "maximum"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "meshgrid"
    argspec: "args=[], varargs=args, keywords=kwargs, defaults=None"
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  member_method {
    name: "min_max_variable_partitioner"
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    name: "minimum"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "mod"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "model_variables"
    argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "moving_average_variables"
    argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "multinomial"
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  member_method {
    name: "multiply"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "negative"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "no_op"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "no_regularizer"
    argspec: "args=[\'_\'], varargs=None, keywords=None, defaults=None"
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  member_method {
    name: "norm"
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    name: "not_equal"
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    name: "one_hot"
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    name: "ones"
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    name: "ones_like"
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    name: "op_scope"
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    name: "pad"
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    name: "parallel_stack"
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    name: "polygamma"
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    name: "pow"
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    name: "qr"
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    name: "quantize"
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    name: "random_crop"
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    name: "random_gamma"
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    name: "random_normal"
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    name: "random_poisson"
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    name: "random_shuffle"
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    name: "random_uniform"
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    name: "range"
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    name: "rank"
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    name: "read_file"
    argspec: "args=[\'filename\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "real"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "realdiv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "reciprocal"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "reduce_all"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "reduce_any"
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    name: "reduce_join"
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    name: "reduce_max"
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    name: "reduce_mean"
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    name: "reduce_min"
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    name: "reduce_prod"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "reduce_sum"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "regex_replace"
    argspec: "args=[\'input\', \'pattern\', \'rewrite\', \'replace_global\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
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    name: "register_tensor_conversion_function"
    argspec: "args=[\'base_type\', \'conversion_func\', \'priority\'], varargs=None, keywords=None, defaults=[\'100\'], "
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    name: "report_uninitialized_variables"
    argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'report_uninitialized_variables\'], "
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    name: "required_space_to_batch_paddings"
    argspec: "args=[\'input_shape\', \'block_shape\', \'base_paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
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  member_method {
    name: "reset_default_graph"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
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  member_method {
    name: "reshape"
    argspec: "args=[\'tensor\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "reverse"
    argspec: "args=[\'tensor\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "reverse_sequence"
    argspec: "args=[\'input\', \'seq_lengths\', \'seq_axis\', \'batch_axis\', \'name\', \'seq_dim\', \'batch_dim\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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  member_method {
    name: "reverse_v2"
    argspec: "args=[\'tensor\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "rint"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "round"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "rsqrt"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "saturate_cast"
    argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "scalar_mul"
    argspec: "args=[\'scalar\', \'x\'], varargs=None, keywords=None, defaults=None"
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  member_method {
    name: "scan"
    argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'infer_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'True\', \'None\'], "
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  member_method {
    name: "scatter_add"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_div"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_max"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_min"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_mul"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_nd"
    argspec: "args=[\'indices\', \'updates\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "scatter_nd_add"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_nd_sub"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_nd_update"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "scatter_sub"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_update"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "segment_max"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "segment_mean"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "segment_min"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "segment_prod"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "segment_sum"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "self_adjoint_eig"
    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "self_adjoint_eigvals"
    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sequence_mask"
    argspec: "args=[\'lengths\', \'maxlen\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'bool\'>\", \'None\'], "
  }
  member_method {
    name: "serialize_many_sparse"
    argspec: "args=[\'sp_input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'string\'>\"], "
  }
  member_method {
    name: "serialize_sparse"
    argspec: "args=[\'sp_input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'string\'>\"], "
  }
  member_method {
    name: "serialize_tensor"
    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "set_random_seed"
    argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "setdiff1d"
    argspec: "args=[\'x\', \'y\', \'index_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "shape"
    argspec: "args=[\'input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int32\'>\"], "
  }
  member_method {
    name: "shape_n"
    argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "sigmoid"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sign"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sin"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sinh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "size"
    argspec: "args=[\'input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int32\'>\"], "
  }
  member_method {
    name: "slice"
    argspec: "args=[\'input_\', \'begin\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "space_to_batch"
    argspec: "args=[\'input\', \'paddings\', \'block_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "space_to_batch_nd"
    argspec: "args=[\'input\', \'block_shape\', \'paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "space_to_depth"
    argspec: "args=[\'input\', \'block_size\', \'name\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\', \'NHWC\'], "
  }
  member_method {
    name: "sparse_add"
    argspec: "args=[\'a\', \'b\', \'thresh\'], varargs=None, keywords=None, defaults=[\'0\'], "
  }
  member_method {
    name: "sparse_concat"
    argspec: "args=[\'axis\', \'sp_inputs\', \'name\', \'expand_nonconcat_dim\', \'concat_dim\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "sparse_fill_empty_rows"
    argspec: "args=[\'sp_input\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_mask"
    argspec: "args=[\'a\', \'mask_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_matmul"
    argspec: "args=[\'a\', \'b\', \'transpose_a\', \'transpose_b\', \'a_is_sparse\', \'b_is_sparse\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "sparse_maximum"
    argspec: "args=[\'sp_a\', \'sp_b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_merge"
    argspec: "args=[\'sp_ids\', \'sp_values\', \'vocab_size\', \'name\', \'already_sorted\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
  }
  member_method {
    name: "sparse_minimum"
    argspec: "args=[\'sp_a\', \'sp_b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_placeholder"
    argspec: "args=[\'dtype\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "sparse_reduce_max"
    argspec: "args=[\'sp_input\', \'axis\', \'keep_dims\', \'reduction_axes\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "sparse_reduce_max_sparse"
    argspec: "args=[\'sp_input\', \'axis\', \'keep_dims\', \'reduction_axes\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "sparse_reduce_sum"
    argspec: "args=[\'sp_input\', \'axis\', \'keep_dims\', \'reduction_axes\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "sparse_reduce_sum_sparse"
    argspec: "args=[\'sp_input\', \'axis\', \'keep_dims\', \'reduction_axes\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "sparse_reorder"
    argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_reset_shape"
    argspec: "args=[\'sp_input\', \'new_shape\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_reshape"
    argspec: "args=[\'sp_input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_retain"
    argspec: "args=[\'sp_input\', \'to_retain\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "sparse_segment_mean"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "sparse_segment_sqrt_n"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "sparse_segment_sum"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "sparse_slice"
    argspec: "args=[\'sp_input\', \'start\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_softmax"
    argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_split"
    argspec: "args=[\'keyword_required\', \'sp_input\', \'num_split\', \'axis\', \'name\', \'split_dim\'], varargs=None, keywords=None, defaults=[\'KeywordRequired()\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "sparse_tensor_dense_matmul"
    argspec: "args=[\'sp_a\', \'b\', \'adjoint_a\', \'adjoint_b\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "sparse_tensor_to_dense"
    argspec: "args=[\'sp_input\', \'default_value\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'True\', \'None\'], "
  }
  member_method {
    name: "sparse_to_dense"
    argspec: "args=[\'sparse_indices\', \'output_shape\', \'sparse_values\', \'default_value\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'True\', \'None\'], "
  }
  member_method {
    name: "sparse_to_indicator"
    argspec: "args=[\'sp_input\', \'vocab_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_transpose"
    argspec: "args=[\'sp_input\', \'perm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "split"
    argspec: "args=[\'value\', \'num_or_size_splits\', \'axis\', \'num\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'split\'], "
  }
  member_method {
    name: "sqrt"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "square"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "squared_difference"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "squeeze"
    argspec: "args=[\'input\', \'axis\', \'name\', \'squeeze_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "stack"
    argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'stack\'], "
  }
  member_method {
    name: "stop_gradient"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "strided_slice"
    argspec: "args=[\'input_\', \'begin\', \'end\', \'strides\', \'begin_mask\', \'end_mask\', \'ellipsis_mask\', \'new_axis_mask\', \'shrink_axis_mask\', \'var\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'0\', \'0\', \'0\', \'0\', \'None\', \'None\'], "
  }
  member_method {
    name: "string_join"
    argspec: "args=[\'inputs\', \'separator\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "string_split"
    argspec: "args=[\'source\', \'delimiter\', \'skip_empty\'], varargs=None, keywords=None, defaults=[\' \', \'True\'], "
  }
  member_method {
    name: "string_to_hash_bucket"
    argspec: "args=[\'string_tensor\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "string_to_hash_bucket_fast"
    argspec: "args=[\'input\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "string_to_hash_bucket_strong"
    argspec: "args=[\'input\', \'num_buckets\', \'key\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "string_to_number"
    argspec: "args=[\'string_tensor\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "substr"
    argspec: "args=[\'input\', \'pos\', \'len\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "subtract"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "svd"
    argspec: "args=[\'tensor\', \'full_matrices\', \'compute_uv\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "tables_initializer"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'init_all_tables\'], "
  }
  member_method {
    name: "tan"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tanh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensordot"
    argspec: "args=[\'a\', \'b\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tile"
    argspec: "args=[\'input\', \'multiples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "timestamp"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "to_bfloat16"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToBFloat16\'], "
  }
  member_method {
    name: "to_complex128"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToComplex128\'], "
  }
  member_method {
    name: "to_complex64"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToComplex64\'], "
  }
  member_method {
    name: "to_double"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToDouble\'], "
  }
  member_method {
    name: "to_float"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToFloat\'], "
  }
  member_method {
    name: "to_int32"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToInt32\'], "
  }
  member_method {
    name: "to_int64"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToInt64\'], "
  }
  member_method {
    name: "trace"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "trainable_variables"
    argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "transpose"
    argspec: "args=[\'a\', \'perm\', \'name\', \'conjugate\'], varargs=None, keywords=None, defaults=[\'None\', \'transpose\', \'False\'], "
  }
  member_method {
    name: "truediv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "truncated_normal"
    argspec: "args=[\'shape\', \'mean\', \'stddev\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "truncatediv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "truncatemod"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tuple"
    argspec: "args=[\'tensors\', \'name\', \'control_inputs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "unique"
    argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "unique_with_counts"
    argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "unravel_index"
    argspec: "args=[\'indices\', \'dims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_max"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_mean"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_min"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_prod"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_sqrt_n"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_sum"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unstack"
    argspec: "args=[\'value\', \'num\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'unstack\'], "
  }
  member_method {
    name: "variable_axis_size_partitioner"
    argspec: "args=[\'max_shard_bytes\', \'axis\', \'bytes_per_string_element\', \'max_shards\'], varargs=None, keywords=None, defaults=[\'0\', \'16\', \'None\'], "
  }
  member_method {
    name: "variable_op_scope"
    argspec: "args=[\'values\', \'name_or_scope\', \'default_name\', \'initializer\', \'regularizer\', \'caching_device\', \'partitioner\', \'custom_getter\', \'reuse\', \'dtype\', \'use_resource\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "variables_initializer"
    argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'init\'], "
  }
  member_method {
    name: "verify_tensor_all_finite"
    argspec: "args=[\'t\', \'msg\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "where"
    argspec: "args=[\'condition\', \'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "while_loop"
    argspec: "args=[\'cond\', \'body\', \'loop_vars\', \'shape_invariants\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\', \'maximum_iterations\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\', \'None\'], "
  }
  member_method {
    name: "write_file"
    argspec: "args=[\'filename\', \'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "zeros"
    argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "zeros_like"
    argspec: "args=[\'tensor\', \'dtype\', \'name\', \'optimize\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
  }
  member_method {
    name: "zeta"
    argspec: "args=[\'x\', \'q\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}